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Research Scientist

2 weeks ago


Singapore NTU (Nanyang Technology University- Main Office-HR) Full time

Nanyang Technological University (NTU) invites applications for a highly skilled individual to join our team as Assistant Professor (Tenure-Track) / Associate Professor (Tenure-Track / Tenured) in the field of Speech Signal and Natural Language Processing.

About the Position

The selected candidate will be responsible for conducting cutting-edge research in speech signal and natural language processing, encompassing various areas such as speech recognition and verification, speech synthesis, speech enhancement, speech emotion and sentiment analysis, speech coding and compression, computer processing of human languages, theoretical and empirical analysis of natural language models and applications, NLP enhanced by human computation and interaction, NLP for information retrieval in web and conversational search, and large language model (LLM).

Key Responsibilities
  • Secure research funding to establish and expand research initiatives, while delivering high-quality research outcomes in the form of publications, invention disclosures, engineering designs, and other relevant outputs in the fields of speech signal and natural language processing, as well as other disciplines associated with Electrical and Electronic Engineering.
  • Contribute to the development and implementation of undergraduate and postgraduate curricula in Electrical and Electronic Engineering and related fields.
  • Provide support, supervision, and mentorship to undergraduate students involved in project work and other academic endeavors, as well as postgraduate research students in their research projects and career development.
Requirements

Candidates with the following qualifications are encouraged to apply:

  • A Ph.D. in Electrical & Electronic Engineering, Computer Science, or a relevant field
  • At least four years of research experience in speech signal and/or natural language processing
  • Excellent track records in publishing high-impact papers in top journals and conferences
  • Proven track records and expertise in speech signal and/or natural language processing
  • Preferable to have secured some research funding as principal investigator
  • Preferable to have proven track records of teaching and mentoring
  • Good interpersonal skills
  • A mindset of continual growth and academic excellence